Rendered at 04:19:24 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
data-ottawa 8 minutes ago [-]
Is the reload module very different than the base watch flag, and does the notebook editor use PyCharm/JetBrains' editor interfac, or is the notebook's editor completely embedded in PyCharm?
---
As usual on marimo posts I have to mention how much I enjoy the product:
Two weeks ago I was working on a large scale data reconciliation that was very high in complexity and high risk for correctness/accuracy.
I built a marimo notebook to interactively visualize and validate the final data, which lead to finding several edge cases that unit testing and validation queries alone would easily miss.
The notebook used tabbed controls for switching subviews, custom AnyWidget components for a few advanced filters, interactive Altair charts with reactive data selection for drilling-down, and tables to export examples to Google Sheets. So close to the full gamut of features I think.
The more traditional notebook or script based workflows would not have been sufficient, a well-organized reactive notebook saved a lot of time on iterating on components without losing data, and data without having to re-run the full notebook.
Big thanks to Akshay and team, you're doing awesome work! Genuinely this has improved my workflow.
quinndupont 8 hours ago [-]
We have adopted marimo notebook for doing modern data science. I’m happy with their progress. Nice to see greater integration.
jdale27 6 hours ago [-]
What’s “modern” data science?
jakeydus 2 minutes ago [-]
2-player games, 60 card decks, all sets are legal, no more than four of any card in each deck.
gathered 4 hours ago [-]
The kind of data science that you do with marimo notebooks
msp26 6 hours ago [-]
I fucking love marimo for exploring data.
However my use of it has decreased a little with how easily I can conjure disposable frontends with agents to explore one off things.
akshayka 6 hours ago [-]
You might like https://marimo.io/pair, it turns marimo into less of a notebook and more of a shared data/computational canvas for you and your agent
red_hare 20 minutes ago [-]
huh, I was doing this but without the feature. This is neat!
msp26 5 hours ago [-]
Last I heard, the feature was in beta so avoided it. But I'll definitely give it a go if it's mature now!
I have been using the --watch flag to let my agent play with the notebook as I use it already.
akshayka 4 hours ago [-]
Give it a shot, it's not in beta. It's much more powerful and fun to use than `--watch`. Works best with frontier models but is compatible with open source / local models too. If you have feedback please let me know!
geraneum 6 hours ago [-]
Why not make the agents make what you want with marimo?
msp26 5 hours ago [-]
I do that a decent chunk of the time yeah especially for learning. I also have a bunch of marimo notebooks that double as clis and they're lovely.
But sometimes I want to do something too specific or high fidelity and it's just easier to get the clanker to write typescript and make a webpage/components.
etbebl 5 hours ago [-]
I was interested in marimo, but I became less interested when I realized that they traded off being able to assign to a variable more than once in order to allow out-of-order execution of cells.
I mean as a Jupyter user, I typically do both and just keep track of what I'm doing in my head (like a repl with many snippets I can run any time), but if I wanted to make it more predictable, I would definitely give up out-of-order execution first.
boron1006 5 hours ago [-]
I think that’s just a fundamental tradeoff though.
Being able to run Jupyter cells independently is a feature until it’s not.
I’d say for most of my one-off work, it’s fine. But for stuff I want to share it’s not.
semiinfinitely 7 hours ago [-]
there are so many issues with jupyter notebooks and marimo solves none of them
It sounds like you're commenting about this from experience - if you'd like to share some of that, of course that would be welcome.
red_hare 18 minutes ago [-]
What I like about Marimo notebooks over Jupyter:
1. They're just a python file so they work with python editors
2. There's no hidden state
3. I can import from them
4. I'm not accidentally committing base64 encoded image output anymore
markkitti 6 hours ago [-]
My biggest problem with Jupyter is hidden state. You have no idea what order the cells executed in and how many times to get to the current state. Pluto.jl and Marimo solve that by using reactivity to make state transparent. WYSIWYG.
I have also been thoroughly impressed how Marimo has engaged with AI agents. marimo-pair is fantastic.
cjohnson318 7 hours ago [-]
Well, I've enjoyed it. It's easier to set up an run from a virtual environment than Jupyter notebooks. That was a big problem I had for years.
---
As usual on marimo posts I have to mention how much I enjoy the product:
Two weeks ago I was working on a large scale data reconciliation that was very high in complexity and high risk for correctness/accuracy.
I built a marimo notebook to interactively visualize and validate the final data, which lead to finding several edge cases that unit testing and validation queries alone would easily miss.
The notebook used tabbed controls for switching subviews, custom AnyWidget components for a few advanced filters, interactive Altair charts with reactive data selection for drilling-down, and tables to export examples to Google Sheets. So close to the full gamut of features I think.
The more traditional notebook or script based workflows would not have been sufficient, a well-organized reactive notebook saved a lot of time on iterating on components without losing data, and data without having to re-run the full notebook.
Big thanks to Akshay and team, you're doing awesome work! Genuinely this has improved my workflow.
However my use of it has decreased a little with how easily I can conjure disposable frontends with agents to explore one off things.
I have been using the --watch flag to let my agent play with the notebook as I use it already.
But sometimes I want to do something too specific or high fidelity and it's just easier to get the clanker to write typescript and make a webpage/components.
I mean as a Jupyter user, I typically do both and just keep track of what I'm doing in my head (like a repl with many snippets I can run any time), but if I wanted to make it more predictable, I would definitely give up out-of-order execution first.
Being able to run Jupyter cells independently is a feature until it’s not.
I’d say for most of my one-off work, it’s fine. But for stuff I want to share it’s not.
It sounds like you're commenting about this from experience - if you'd like to share some of that, of course that would be welcome.
1. They're just a python file so they work with python editors
2. There's no hidden state
3. I can import from them
4. I'm not accidentally committing base64 encoded image output anymore
I have also been thoroughly impressed how Marimo has engaged with AI agents. marimo-pair is fantastic.